November 2025 in “Clinical and Translational Medicine” DNAJB9 cfRNA could help diagnose and treat female hair loss.
Keratinocytes can reverse the effects of the GNAQ oncogene, inhibiting melanoma cell growth.
March 2017 in “Fundamental & Clinical Pharmacology” The model and estimator can predict drug exposure in kidney transplant patients well.
89 citations
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September 2010 in “Annual Review of Genomics and Human Genetics” The document concludes that understanding the genes and pathways involved in hair growth is crucial for developing treatments for hair diseases.
77 citations
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June 2007 in “PLoS ONE” Birds can regenerate inner ear cells using specific gene pathways, unlike mammals.
19 citations
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August 2022 in “Forensic Science International Genetics” The model accurately predicts age from saliva and buccal cells for forensic use.
375 citations
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February 2006 in “Journal of Cell Science” The document concludes that the hair cycle is a complex process involving growth, regression, and rest phases, regulated by various molecular signals.
103 citations
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January 2006 in “Journal of Cell Science” The document concludes that the hair cycle is a complex process involving growth, regression, and rest phases, regulated by various molecular signals.
6 citations
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March 1996 in “Journal of Investigative Dermatology” 32 citations
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July 2017 in “Oncotarget” Alternating treatment with two drugs could help cells in a rapid aging disease.
January 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The study aims to see if maternal hair cortisol levels during pregnancy relate to adverse childhood experiences.
6 citations
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February 2025 in “Scientific Reports” MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
4 citations
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December 2016 in “Blood” A new gene mutation may cause cyclic thrombocytopenia by affecting platelet production.
January 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” DNA methylation controls hair follicle gene expression in cashmere goats.
3 citations
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April 2025 in “Science Advances” Loss of Ten1 in mice causes telomere shortening and symptoms similar to human dyskeratosis congenita.
November 2022 in “Journal of Investigative Dermatology” A new tool helps study hair follicle cells to develop better treatments for hair disorders.
February 2026 in “Clinical Cosmetic and Investigational Dermatology” Female pattern hair loss is linked to genetics, family history, and lifestyle factors.
301 citations
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May 1998 in “Genes & Development” Ets2 gene is crucial for placental development in mice.
January 2012 in “Zhongguo nongye Kexue” The technology can create transgenic cashmere goats with improved wool quality.
59 citations
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November 2011 in “Development” Trps1 is essential for proper hair follicle development.
19 citations
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February 2001 in “Journal of paediatrics and child health” A new mutation in the mitochondrial DNA was found in a boy with MELAS, even though his family didn't show typical signs.
4 citations
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July 2012 in “Genesis” The Megsin-Cre transgene is a new tool for genetic manipulation in the skin and upper digestive tract.
July 2021 in “Anais brasileiros de dermatologia/Anais Brasileiros de Dermatologia” Monilethrix causes different levels of hair loss in family members.
12 citations
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January 2005 in “Journal of Cosmetic Dermatology” AGA affects many, progresses differently, and early treatment is crucial.
September 2009 in “Encyclopedia of Life Sciences” The KRTAP gene family helps understand hair evolution and hair disorders.
11 citations
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May 1995 in “The journal of investigative dermatology/Journal of investigative dermatology”
149 citations
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July 2017 in “PLoS Biology” Hair follicle patterns form through a mix of self-organization and signaling interactions.
5 citations
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August 2016 in “bioRxiv (Cold Spring Harbor Laboratory)” Genetic factors can predict male pattern baldness risk.
30 citations
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May 2020 in “Forensic Science International Genetics” The method improved hair analysis for better forensic identification.
September 2025 in “Cosmetics” Genetic profiling can improve androgenetic alopecia treatment by predicting drug response and minimizing side effects.